Users' security concerns hinder their intention to conduct m-commerce. Our findings confirmed the conceptualization of the research model and indicated that users' perceived exchange benefits are the drivers of m-commerce use. The research model is empirically tested by using the survey data collected in a large city in China. Particularly, this research develops an integrated research model in which users' perceptions on value added of and usefulness of m-commerce, and users' privacy concerns and security concerns of m-commerce are examined. This research fills this gap in research by exploring users' exchange perceptions specific to the context of m-commerce in China and by examining the inhibitors and drives of m-commerce adoption in China from the perspectives of social exchange.
New guidelines for validation and new research directions are offered.įew empirical studies have examined both privacy and security concerns in the context of mobile commerce (m-commerce) while accounting for the effects of situational privacy concerns specific to the context of m-commerce. This article is a first step in that direction.īased on our interpretation of the importance of a long list of validities, this paper suggests heuristics for reinvigorating the quest for validation in IS research via content/construct validity, reliability, manipulation validity, and statistical conclusion validity.
But we believe that it is time for the IS academic profession to bring such issues into the open for community debate. Some of these heuristics will, no doubt, be controversial. It goes beyond these studies by offering analyses of the state-of-the-art of research validities and deriving specific heuristics for research practice in the validities. This study builds on four prior retrospectives of IS research that conclude that IS positivist researchers continue to face major barriers in instrument, statistical, and other forms of validation. Without solid validation of the instruments that are used to gather data on which findings and interpretations are based, the very scientific basis of the profession is threatened. Rigor in IS research is still one of the critical scientific issues facing the field. The issue of whether IS positivist researchers were validating their instruments sufficiently was initially raised fifteen years ago.
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